This paper provides new estimates of a time?varying NAIRU for Germany taking account of the structural break caused by German unification based on the Kalman Filter and on a partially linear model as two alternatives. Estimating a standard Phillips curve, the sum of coefficients associated with...

In this paper we employ a time series econometric framework to explore the structural determinants of the spread between the euro overnight rate and the ECB?s policy rate (EONIA spread) aiming to explain the widening of the EONIA spread in the period from mid-2004 to mid-2006. We mainly estimate...

This paper presents and compares several time-series models for returns of broadbased stock indices. These models nest a nonlinear asymmetric GARCH (NGARCH) model as a special case. Some of these models are empirically motivated ad-hoc specifications others are derived from a representative...

This paper investigates how the implementation of monetary policy affects the dynamics and the volatility of the federal funds rate. Since the early 1980s, the most important changes in the Fed?s conduct of monetary policy refer to the role of the federal funds rate target and the reserve...

Ambivalence in the regulatory definition of capital adequacy for credit risk has recently steered the financial services industry to collateral loan obligations (CLOs) as an important balance sheet management tool. CLOs represent a specialised form of Asset-Backed Securitisation (ABS), with...

Using unobservable conditional variance as measure, latent-variable approaches, such as GARCH and stochastic-volatility models, have traditionally been dominating the empirical finance literature. In recent years, with the availability of high-frequency financial market data modeling realized...

A resampling method based on the bootstrap and a bias-correction step is developed for improving the Value-at-Risk (VaR) forecasting ability of the normal-GARCH model. Compared to the use of more sophisticated GARCH models, the new method is fast, easy to implement, numerically reliable, and,...

This paper presents a simple new method for estimating the size of 'wealth effects' on aggregate consumption. The method exploits the well-documented sluggishness of consumption growth (often interpreted as 'habits' in the asset pricing literature) to distinguish between short-run and long-run...

Nonlinear autoregressive Markov regime-switching models are intuitive and frequently proposed time series approaches for the modelling of electricity spot prices. In this paper such models are compared to an ordinary linear autoregressive model with regard to their forecast performance. The...

The liberalization of electricity markets has triggered research in econometric modelling and forecasting of electricity spot prices. Moreover, both the demand and the supply of electricity are subject to weather conditions. Therefore, we examine the relation between hourly electricity spot...